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Assessing your cultural and operational fit
Databricks_Ecomm_Data_Platform
December 25, 2025 – Present
Databricks_Ecomm_Data_Platform — GitHub repository
View ProjectAzure-Data-Engineering-Project-Real-time-News-Analysis-with-AI-Metabase
September 22, 2025 – Present
Built an automated pipeline using Azure Data Factory, Python Azure Functions, Azure AI Language services, and Azure SQL Database to fetch, clean, analyze news sentiment, and visualize it on Metabase.
View ProjectDatewise-insights-python-task
May 26, 2024 – June 16, 2024
Datewise-insights-python-task — GitHub repository
View ProjectClassification_ML_Task
May 26, 2024 – May 26, 2024
Classification_ML_Task — GitHub repository
View ProjectSpotifyData-ETL-Pipeline
December 21, 2023 – July 25, 2025
SpotifyData-ETL-Pipeline — GitHub repository
View Projectrecommendation-system
January 19, 2020 – January 19, 2020
recommendation-system — GitHub repository
View ProjectCultural Fit Analysis
The candidate's projects are primarily personal and demonstrate initiative in exploring various data science and engineering topics. The diversity of projects (image processing, ETL, recommendation systems, sentiment analysis) suggests a broad interest in the field. However, the lack of professional experience or team-based projects makes it difficult to assess collaboration or cultural alignment within a professional setting. The focus on personal projects indicates a self-starter mentality.
Soft Skills & Operational Fit
Insufficient data to assess soft skills or operational fit. No psychometric test results or interview feedback provided.